IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v87y2010i6p1989-1995.html
   My bibliography  Save this article

Energy efficiency assessment and improvement in energy intensive systems through thermoeconomic diagnosis of the operation

Author

Listed:
  • Usón, Sergio
  • Valero, Antonio
  • Correas, Luis

Abstract

Advanced monitoring techniques can play a key role in improving energy efficiency of operating energy intensive systems. In particular, thermoeconomic diagnosis aims at the determination of fuel consumption variation, the identification of causes of its increment from design conditions and the quantification of the effect of each one of these causes. A thermoeconomic diagnosis system installed in a coal-fired power plant has been used to analyse its operation during a time span of more than 6 years, quantifying the effects of variations in components (degradation, repairing and substitution), fuel quality, ambient conditions and operation strategy. The diagnosis method proposed (quantitative causality analysis) provides a precision of ±3% in addressing the source of inefficiency for about 70% of the cases.

Suggested Citation

  • Usón, Sergio & Valero, Antonio & Correas, Luis, 2010. "Energy efficiency assessment and improvement in energy intensive systems through thermoeconomic diagnosis of the operation," Applied Energy, Elsevier, vol. 87(6), pages 1989-1995, June.
    • Handle: RePEc:eee:appene:v:87:y:2010:i:6:p:1989-1995
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306-2619(09)00527-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lazzaretto, A. & Toffolo, A. & Reini, M. & Taccani, R. & Zaleta-Aguilar, A. & Rangel-Hernandez, V. & Verda, V., 2006. "Four approaches compared on the TADEUS (thermoeconomic approach to the diagnosis of energy utility systems) test case," Energy, Elsevier, vol. 31(10), pages 1586-1613.
    2. Ozgener, Leyla & Ozgener, Onder, 2009. "Monitoring of energy exergy efficiencies and exergoeconomic parameters of geothermal district heating systems (GDHSs)," Applied Energy, Elsevier, vol. 86(9), pages 1704-1711, September.
    3. Valero, Antonio & Correas, Luis & Zaleta, Alejandro & Lazzaretto, Andrea & Verda, Vittorio & Reini, Mauro & Rangel, Victor, 2004. "On the thermoeconomic approach to the diagnosis of energy system malfunctions," Energy, Elsevier, vol. 29(12), pages 1875-1887.
    4. Kim, Si-Moon & Joo, Yong-Jin, 2005. "Implementation of on-line performance monitoring system at Seoincheon and Sinincheon combined cycle power plant," Energy, Elsevier, vol. 30(13), pages 2383-2401.
    5. Valero, Antonio & Correas, Luis & Zaleta, Alejandro & Lazzaretto, Andrea & Verda, Vittorio & Reini, Mauro & Rangel, Victor, 2004. "On the thermoeconomic approach to the diagnosis of energy system malfunctions," Energy, Elsevier, vol. 29(12), pages 1889-1907.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Roshandel, Ramin & Parhizkar, Tarannom, 2016. "Degradation based optimization framework for long term applications of energy systems, case study: Solid oxide fuel cell stacks," Energy, Elsevier, vol. 107(C), pages 172-181.
    2. Rúa Orozco, Dimas José & Da Purificação Ferreira, Marcos Vinicius & Moreira, Thayná & Venturini, Osvaldo José & Escobar Palácio, José Carlos & Mendes, Tiago & Vitoriano Julio, Alisson Aparecido, 2024. "Evaluation of the influence of exergy disaggregation on the results of thermoeconomic diagnosis using exergetic operators," Energy, Elsevier, vol. 296(C).
    3. Jiang, Xiaolong & Liu, Pei & Li, Zheng, 2014. "A data reconciliation based framework for integrated sensor and equipment performance monitoring in power plants," Applied Energy, Elsevier, vol. 134(C), pages 270-282.
    4. Blanco, Jesús M. & Vazquez, L. & Peña, F., 2012. "Investigation on a new methodology for thermal power plant assessment through live diagnosis monitoring of selected process parameters; application to a case study," Energy, Elsevier, vol. 42(1), pages 170-180.
    5. Guo, Sisi & Liu, Pei & Li, Zheng, 2016. "Data reconciliation for the overall thermal system of a steam turbine power plant," Applied Energy, Elsevier, vol. 165(C), pages 1037-1051.
    6. Orozco, Dimas José Rúa & Venturini, Osvaldo José & Escobar Palacio, José Carlos & del Olmo, Oscar Almazán, 2017. "A new methodology of thermodynamic diagnosis, using the thermoeconomic method together with an artificial neural network (ANN): A case study of an externally fired gas turbine (EFGT)," Energy, Elsevier, vol. 123(C), pages 20-35.
    7. Usón, Sergio & Valero, Antonio, 2011. "Thermoeconomic diagnosis for improving the operation of energy intensive systems: Comparison of methods," Applied Energy, Elsevier, vol. 88(3), pages 699-711, March.
    8. Blanco, J.M. & Vazquez, L. & Peña, F. & Diaz, D., 2013. "New investigation on diagnosing steam production systems from multivariate time series applied to thermal power plants," Applied Energy, Elsevier, vol. 101(C), pages 589-599.
    9. Honma, Satoshi & Hu, Jin-Li, 2014. "Industry-level total-factor energy efficiency in developed countries: A Japan-centered analysis," Applied Energy, Elsevier, vol. 119(C), pages 67-78.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Silva, J.A.M. & Venturini, O.J. & Lora, E.E.S. & Pinho, A.F. & Santos, J.J.C.S., 2011. "Thermodynamic information system for diagnosis and prognosis of power plant operation condition," Energy, Elsevier, vol. 36(7), pages 4072-4079.
    2. Usón, Sergio & Valero, Antonio, 2011. "Thermoeconomic diagnosis for improving the operation of energy intensive systems: Comparison of methods," Applied Energy, Elsevier, vol. 88(3), pages 699-711, March.
    3. Mendes, Tiago & Venturini, Osvaldo José & da Silva, Julio Augusto Mendes & Orozco, Dimas José Rúa & Pirani, Marcelo José, 2020. "Disaggregation models for the thermoeconomic diagnosis of a vapor compression refrigeration system," Energy, Elsevier, vol. 193(C).
    4. Orozco, Dimas José Rúa & Venturini, Osvaldo José & Escobar Palacio, José Carlos & del Olmo, Oscar Almazán, 2017. "A new methodology of thermodynamic diagnosis, using the thermoeconomic method together with an artificial neural network (ANN): A case study of an externally fired gas turbine (EFGT)," Energy, Elsevier, vol. 123(C), pages 20-35.
    5. Amorim Lorenzoni, Raphael & Conceição Soares Santos, José Joaquim & Barbosa Lourenço, Atilio & Marcon Donatelli, João Luiz, 2020. "On the accuracy improvement of thermoeconomic diagnosis through exergy disaggregation and dissipative equipment isolation," Energy, Elsevier, vol. 194(C).
    6. Cafaro, S. & Napoli, L. & Traverso, A. & Massardo, A.F., 2010. "Monitoring of the thermoeconomic performance in an actual combined cycle power plant bottoming cycle," Energy, Elsevier, vol. 35(2), pages 902-910.
    7. Usón, Sergio & Valero, Antonio & Agudelo, Andrés, 2012. "Thermoeconomics and Industrial Symbiosis. Effect of by-product integration in cost assessment," Energy, Elsevier, vol. 45(1), pages 43-51.
    8. Pietro Catrini & Tancredi Testasecca & Alessandro Buscemi & Antonio Piacentino, 2022. "Exergoeconomics as a Cost-Accounting Method in Thermal Grids with the Presence of Renewable Energy Producers," Sustainability, MDPI, vol. 14(7), pages 1-27, March.
    9. Yunpeng Cao & Xinran Lv & Guodong Han & Junqi Luan & Shuying Li, 2019. "Research on Gas-Path Fault-Diagnosis Method of Marine Gas Turbine Based on Exergy Loss and Probabilistic Neural Network," Energies, MDPI, vol. 12(24), pages 1-17, December.
    10. Morosuk, T. & Tsatsaronis, G., 2009. "Advanced exergetic evaluation of refrigeration machines using different working fluids," Energy, Elsevier, vol. 34(12), pages 2248-2258.
    11. Torres, César & Valero, Antonio & Valero, Alicia, 2013. "Exergoecology as a tool for ecological modelling. The case of the US food production chain," Ecological Modelling, Elsevier, vol. 255(C), pages 21-28.
    12. Verda, Vittorio & Borchiellini, Romano, 2007. "Exergy method for the diagnosis of energy systems using measured data," Energy, Elsevier, vol. 32(4), pages 490-498.
    13. Piacentino, Antonio & Cardona, Ennio, 2010. "Scope Oriented Thermoeconomic analysis of energy systems. Part II: Formation Structure of Optimality for robust design," Applied Energy, Elsevier, vol. 87(3), pages 957-970, March.
    14. Kostowski, Wojciech J. & Usón, Sergio, 2013. "Thermoeconomic assessment of a natural gas expansion system integrated with a co-generation unit," Applied Energy, Elsevier, vol. 101(C), pages 58-66.
    15. Bagdanavicius, Audrius & Jenkins, Nick & Hammond, Geoffrey P., 2012. "Assessment of community energy supply systems using energy, exergy and exergoeconomic analysis," Energy, Elsevier, vol. 45(1), pages 247-255.
    16. Zaleta-Aguilar, Alejandro & Olivares-Arriaga, Abraham & Cano-Andrade, Sergio & Rodriguez-Alejandro, David A., 2016. "β-characterization by irreversibility analysis: A thermoeconomic diagnosis method," Energy, Elsevier, vol. 111(C), pages 850-858.
    17. Verda, Vittorio, 2006. "Accuracy level in thermoeconomic diagnosis of energy systems," Energy, Elsevier, vol. 31(15), pages 3248-3260.
    18. Valero, Antonio & Usón, Sergio & Torres, César & Valero, Alicia & Agudelo, Andrés & Costa, Jorge, 2013. "Thermoeconomic tools for the analysis of eco-industrial parks," Energy, Elsevier, vol. 62(C), pages 62-72.
    19. Zaleta, Alejandro & Chavez, J.Paulo & Pacheco, J.Jesus & Santos, Adrian & Campos, Alfonso & Gallegos, Armando, 2007. "Concepts on dynamic reference state, acceptable performance tests, and the equalized reconciliation method as a strategy for a reliable on-line thermoeconomic monitoring and diagnosis," Energy, Elsevier, vol. 32(4), pages 499-507.
    20. Meng, Di & Shao, Cheng & Zhu, Li, 2022. "Two-level comprehensive energy-efficiency quantitative diagnosis scheme for ethylene-cracking furnace with multi-working-condition of fault and exception operation," Energy, Elsevier, vol. 239(PA).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:87:y:2010:i:6:p:1989-1995. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.